API cost decision in 10 seconds

Nemotron Nano 12B 2 VL (free) vs Qwen3 VL 32B Instruct

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick Qwen3 VL 32B Instruct only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick Qwen3 VL 32B Instruct only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $0.31 for Qwen3 VL 32B Instruct, saving $0.31 (100% lower).

Cost-first pickNemotron Nano 12B 2 VL (free)

Context-first pickQwen3 VL 32B Instruct

Sample savings$0.31100%

10x traffic gap$3.12

Qwen3 VL 32B Instruct has more context, but Nemotron Nano 12B 2 VL (free) saves $0.31 on the standard workload. At 10x that traffic, the same price gap is about $3.12. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron Nano 12B 2 VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Nemotron Nano 12B 2 VL (free)	Qwen3 VL 32B Instruct
Input-heavy / RAG	5M input + 500K output	Nemotron Nano 12B 2 VL (free)	$0	$0.73
Balanced workload	1M input + 1M output	Nemotron Nano 12B 2 VL (free)	$0	$0.52
Output-heavy chatbot	1M input + 5M output	Nemotron Nano 12B 2 VL (free)	$0	$2.18

Cheaper input Nemotron Nano 12B 2 VL (free) $0 vs $0.104 / 1M

Nemotron Nano 12B 2 VL (free) is free for input tokens while Qwen3 VL 32B Instruct costs $0.1 per 1M tokens.

Cheaper output Nemotron Nano 12B 2 VL (free) $0 vs $0.416 / 1M

Nemotron Nano 12B 2 VL (free) is free for output tokens while Qwen3 VL 32B Instruct costs $0.42 per 1M tokens.

Larger context Qwen3 VL 32B Instruct 128K vs 262.14K

Qwen3 VL 32B Instruct has 134.14K more context (2.05x larger).

Sample workload Nemotron Nano 12B 2 VL (free) $0 vs $0.31

Nemotron Nano 12B 2 VL (free) is free for the standard workload while the other model is estimated at $0.31.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Nemotron Nano 12B 2 VL (free) Calculating… Estimated API cost

Qwen3 VL 32B Instruct Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nemotron Nano 12B 2 VL (free) has the lower input price; Nemotron Nano 12B 2 VL (free) has the lower output price; Qwen3 VL 32B Instruct offers the larger context window. For the 1M input plus 500K output sample, Nemotron Nano 12B 2 VL (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron Nano 12B 2 VL (free) and $0.31 for Qwen3 VL 32B Instruct.

Best Fit

Choose Nemotron Nano 12B 2 VL (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 VL 32B Instruct when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $0.31 for Qwen3 VL 32B Instruct, saving $0.31 (100% lower).
Nemotron Nano 12B 2 VL (free) is free for the standard workload while the other model is estimated at $0.31.
Nemotron Nano 12B 2 VL (free) is free for input tokens while Qwen3 VL 32B Instruct costs $0.1 per 1M tokens.
Nemotron Nano 12B 2 VL (free) is free for output tokens while Qwen3 VL 32B Instruct costs $0.42 per 1M tokens.
Qwen3 VL 32B Instruct has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	Nemotron Nano 12B 2 VL (free) (NVIDIA)	Qwen3 VL 32B Instruct (Qwen)
Input Price prompt tokens per 1M	$0	$0.104
Completion Price per 1M tokens	$0	$0.416
Sample Workload Cost 1M input + 500K output	$0	$0.31
Context Window	128K	262.14K
Release Date	2025-10-28	2025-10-23

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nemotron Nano 12B 2 VL (free)	On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $0.31 for Qwen3 VL 32B Instruct, saving $0.31 (100% lower).
High-volume input processing	Nemotron Nano 12B 2 VL (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron Nano 12B 2 VL (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 VL 32B Instruct	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 32B Instruct when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 32B Instruct when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 VL 32B Instruct when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 VL 32B Instruct when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

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Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models

Nemotron Nano 12B 2 VL (free)

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...

Qwen3 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...